The Second Wave Of Capital

I have been doing research about the future impact of artificial intelligence on the economy and the rest of our lives. With that in mind, I have been reading a variety of books by economists, technologists, and others.That is why I recently read “Capital and Ideology” by Thomas Piketty, the well-known French economist and author of the best-selling (if not well read) “Capital in the Twenty-First Century”. It contains a multi-national history of inequality, why it happened and why it has continued, mostly uninterrupted.

At more than 1100 pages, it is a tour de force of economics, history, politics and sociology. In considerable detail, for every proposition, he provides reasonable data analyses, which is why the book is so long. While there is a lot of additional detail in the book, many of the themes are not new, in part because of Piketty’s previous work.  As with his last book, much of the commentary on the new book is about income and wealth inequality.  This is obviously an important problem, although not one that I will discuss directly here.

Instead, although much of the focus of the book is on capital in the traditional sense of money and ownership of things, it was his two main observations about education – what economists call human capital – that stood out for me. The impact of a second wave and a second kind of capital is two-fold.

  1. Education And The US Economy

From the mid-nineteenth century until about a hundred years later, the American population had twice the educational level of people in Europe. And this was exactly the same period that the American economy surpassed the economies of the leading European countries. During the last several decades, the American population has fallen behind in education and this is the same time that their incomes have stagnated.  It is obviously difficult to tease out the effect of one factor like education, but clearly there is a big hint in these trends.

As Piketty writes in Chapter 11:

The key point here is that America’s educational lead would continue through much of the twentieth century. In 1900–1910, when Europeans were just reaching the point of universal primary schooling, the United States was already well on the way to generalized secondary education. In fact, rates of secondary schooling, defined as the percentage of children ages 12–17 (boys and girls) attending secondary schools, reached 30 percent in 1920, 40–50 percent in the 1930s, and nearly 80 percent in the late 1950s and early 1960s. In other words, by the end of World War II, the United States had come close to universal secondary education.

At the same time, the secondary schooling rate was just 20–30 percent in the United Kingdom and France and 40 percent in Germany. In all three countries, it is not until the 1980s that one finds secondary schooling rates of 80 percent, which the United States had achieved in the early 1960s. In Japan, by contrast, the catch-up was more rapid: the secondary schooling rate attained 60 percent in the 1950s and climbed above 80 percent in the late 1960s and early 1970s.

In the second Industrial Revolution it became essential for growing numbers of workers to be able to read and write and participate in production processes that required basic scientific knowledge, the ability to understand technical manuals, and so on.

That is how, in the period 1880–1960—first the United States and then Germany and Japan, newcomers to the international scene—gradually took the lead over the United Kingdom and France in the new industrial sectors. In the late nineteenth and early twentieth centuries, the United Kingdom and France were too confident of their lead and their superior power to take the full measure of the new educational challenge.

How did the United States, which pioneered universal access to primary and secondary education and which, until the turn of the twentieth century, was significantly more egalitarian than Europe in terms of income and wealth distribution, become the most inegalitarian country in the developed world after 1980—to the point where the very foundations of its previous success are now in danger? We will discover that the country’s educational trajectory—most notably the fact that its entry into the era of higher education was accompanied by a particularly extreme form of educational stratification—played a central role in this change.

In any case, as recently as the 1950s inequality in the United States was close to or below what one found in a country like France, while its productivity (and therefore standard of living) was twice as high. By contrast, in the 2010s, the United States has become much more inegalitarian while its lead in productivity has totally disappeared.

  1. The Political Competition Between Two Elites

By now, most Americans who follow politics understand that the Democratic Party has become the favorite of the educated elite, in addition to the votes from minority groups. This coalition completely reverses what had been true of educated voters in most of the last century, who were reliable Republican voters. In the process, the Democratic Party has lost much of its working-class base.

The Republicans have been the party of the economic elite, although since the 1970s some of the working-class have joined in, especially those reacting to increased immigration and civil rights movements.

What Piketty points out is that, in this transition, working-class and lower income people have decreased their political participation, especially voting. He thinks that is because these voters felt that the Democratic Party has been taken over by the educational elite and no longer speaks for them.

What many Americans may not have realized is that this same phenomenon has happened in other economically advanced democracies, such as the UK and France. Over the longer run, Piketty wonders whether such an electoral competition between parties both dominated by elites can be sustained – or whether the voiceless will seek violence or other undemocratic outlets for their political frustrations.

In Chapter 14, he notes that, at the same time that the USA has lost the edge arising from a better educated population, it and other advanced economies that have now matched or surpassed the American educational level, have elevated education to a position of political power.

We come now to what is surely the most striking evolution in the long run; namely, the transformation of the party of workers into the party of the educated.

Before turning to explanations, it is important to emphasize that the reversal of the educational cleavage is a very general phenomenon. What is more, it is a complete reversal, visible at all levels of the educational hierarchy. we find exactly the same profile—the higher the level of education, the less likely the left-wing vote—in all elections in this period, in survey after survey, without exception, and regardless of the ambient political climate. Specifically, the 1956 profile is repeated in 1958, 1962, 1965, and 1967.

Not until the 1970s and 1980s does the shape of the profile begin to flatten and then gradually reverse. The new norm emerges with greater and greater clarity as we move into the 2000s and 2010s. With the end of Soviet communism and bipolar confrontations over private property, the expansion of educational opportunity, and the rise of the “Brahmin left,” the political-ideological landscape was totally transformed.

Within a few years the platforms of left-wing parties that had advocated nationalization (especially in the United Kingdom and France), much to the dismay of the self-employed, had disappeared without being replaced by any clear alternative.

A dual-elite system emerged, with on one side, a “Brahmin left,” which attracted the votes of the highly educated, and on the other side, a “merchant right,” which continued to win more support from both highly paid and wealthier votes.

This clearly provides some context for what we have been seeing in recent elections.  And although he is not the first to highlight this trend, the evidence that he marshals is impressive.

Considering how much there is in the book, it is not likely anyone, including me, would agree with all of the analysis. In addition to the analysis, Piketty goes on to propose various changes in taxation and laws, which I will discuss in the context of other writers in a later blog. For now, I would only add that other economists have come to some of the same suggestions as Piketty, although they have completed a very different journey from his.

For example, Daniel Susskind in The End Of Work is concerned that a large number of people will not be able to make a living through paid work because of artificial intelligence. The few who do get paid and those who own the robots and AI systems will become even richer at most everyone else becomes poorer. This blends with Piketty’s views and they end up in the same place – a basic citizen’s income and even a basic capital allotment to each citizen, taxation on wealth, estate taxes, and the like.

We will have much to explore about these and other policy issues arising from the byproducts of our technology revolution in this century.

© 2020 Norman Jacknis, All Rights Reserved

Is It 1832 Or 2020? Virtual Convention Or Something New?

In these blogs, I’ve often noted how people seem wedded to old ways of thinking, even when those old ways are dressed up in new clothes.

Despite all the technology around us, it’s amazing how little some things have changed.  Too often, today seems like it was 120 years ago when people talked and thought about “horseless carriages” rather than the new thing that was possible – the car with all the possibilities it opened.

So it was with interest that I read this recent story – “Democrats confirm plans for nearly all-virtual convention

“Democrats will hold an almost entirely virtual presidential nominating convention Aug. 17-20 in Milwaukee using live broadcasts and online streaming, party officials said Wednesday.”

Party conventions have been around since 1832.  They were changed a little bit when they went on radio and then later on television.  But mostly they have always been filled with lots of people hearing speeches, usually from the podium.

Following in this tradition going back to 1832, the Democratic Party is going to have a convention, but we can’t have lots of people gathered together with COVID-19.  This one will be “a virtual convention in Milwaukee” which seems like a contradiction – something that is both virtual but is happening in a physical place?  I guess it only means that Joe Biden will be in Milwaukee along with the convention officials to handle procedures.

Indeed, it’s not entirely clear what this convention will look like.  In addition to the main procedures in Milwaukee, the article indicates that “Democrats plan other events in satellite locations around the country to broadcast as part of the convention”.  I assume that will be similar.

“Kirshner knows how it’s done: He has produced every Democratic national convention since 1992.”

Hopefully this will be different from every convention since 1832 – or even 1992!

Instead of the standard speeches on the screen or even other activities that are just video of something that could occur on-stage, do something that is more up-to-date.  This will show that Biden will not only be a different kind of President than Trump, but that he also will know how to lead us into the future.

Why not do something that takes advantage of not having to be in a convention hall?

For example, how about a walk (or drive, if necessary) through the speaker’s neighborhood (masks on) explaining what the problems are and what Biden wants to do about those problems?

My suggestions are limited since creative arts are not my specialty, but I do see an opportunity to do something different.  It is a good guess that Hollywood is also eager to help defeat Trump and would offer all kinds of innovative assistance.  Make it an illustration of American collaboration at its best.

This should not be an unusual idea for the Biden organization.  Among his top advisors are Zeppa Kreager, his Chief of Staff, formerly the Director of the Creative Alliance (part of Civic Nation), and Kate Bedingfield, Deputy Campaign Manager and Communications Director, formerly Vice President at Monumental Sports and Entertainment.

Of course, the Trump campaign could take the same approach, but they do not seem interested and Trump obviously adores a large in-person audience.  So there is a real opportunity for Biden to differentiate himself.

Beyond the short-term electoral considerations, this would also make political history by setting a new pattern for political conventions.

© 2020 Norman Jacknis, All Rights Reserved

Campaign Analytics: What Separates The Good From The Bad

Donald Trump, as a candidate for President last year, expressed great skepticism about the use of analytics
in an election campaign.  Hillary Clinton made a big deal about her campaign’s use of analytics. Before that, President Obama’s campaigns received great credit for their analytics.

If you compare these experiences, you can begin to understand what separates good from bad in campaign analytics.

Let’s start with the Clinton campaign, whose use of analytics was breathlessly reported, including this Politico story about “Hillary’s Nerd Squad” eighteen months before the election.

However, a newly released book, titled Shattered, provides a kind of autopsy of the campaign and its major weaknesses. A CBS News review of the book highlighted this
weakness in particular:

“Campaign manager Robby Mook put a lot of faith in the campaign’s computer algorithm, Ada, which was supposed to give them a leg up in turning out likely voters. But the Clinton campaign’s use of the highly complex algorithm focused on ensuring voter turnout, rather than attracting voters from across party lines.

“According to the book, Mook was insistent that the software would be revered as the campaign’s secret weapon once Clinton won the White House. With his commitment to Ada and the provided data analytics, Mook often butted heads with Democratic Party officials, who were concerned about the lack of attention in persuading undecided voters in Clinton’s favor.  Those Democratic officials, as it turned out, had a point.”

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Of course, this had become part of the conventional wisdom since the day after the election. For example, on November 9, 2016, the Washington Post had a story “Clinton’s data-driven campaign relied heavily on an algorithm named Ada. What didn’t she see?”:

“Ada is a complex computer algorithm that the campaign was prepared to publicly unveil after the election as its invisible guiding hand … the algorithm was said to play a role in virtually every strategic decision Clinton aides made, including where and when to deploy the candidate and her battalion of surrogates and where to air television ads … The campaign’s deployment of other resources — including county-level campaign offices and the staging of high-profile concerts with stars like Jay Z and Beyoncé — was largely dependent on Ada’s work, as well.”

But the story had another point about Ada:

“Like the candidate herself, she had a penchant for secrecy and a private server … the particulars of Ada’s work were kept under tight wraps, according to aides. The algorithm operated on a separate computer server than the rest of the Clinton operation as a security precaution, and only a few senior aides were able to access it.”

While the algorithm clearly wasn’t the only or perhaps even the most important reason for the failure of the campaign, that last piece illustrates why the Clinton use of analytics wasn’t more successful. It had in common with many other failed analytics initiatives an atmosphere of secretiveness and arrogance – “we’re the smartest guys around here” so let us do our thing.

The successful uses of analytics in campaigns or elsewhere try to use (and then test) the best insights of the people with long experience in a field. They will even help the analyst look at the right questions –
in the case of the Clinton campaign, converting undecided voters

The best analytics efforts are a two-way conversation that helps the “experts” to understand better which of their beliefs are still correct and helps the analytics staff to understand where they should be looking for predictive factors.

Again, analytics wasn’t the only factor that led to President Obama’s winning elections in 2008 and 2012, but the Obama campaign’s use of analytics felt different than Clinton’s. One article went “Inside the Obama Campaign’s Big Data Analytics Culture” and described “an archetypical story of an analytics-driven organization that aligned people, business processes and technologies around a clear mission” instead of focusing on the secret sauce and a top-down, often strife-filled, environment.

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InfoWorld’s story about the 2012 campaign described a widely dispersed use of analytics –

“Of the 100 analytics staffers, 50 worked in a dedicated analytics department, 20 analysts were spread throughout the campaign’s various headquarters, and another 30 were in the field interpreting the data.” So, there was plenty of opportunity for analytics staffers to learn from others in the campaign.

And the organizational culture was molded to make this successful as well –

“barriers between disparate data sets – as well as between analysts – were lowered, so everyone could work together effectively. In a nutshell, the campaign sought a friction-free analytic environment.”

Obama’s successful use of analytics was a wake-up call to many politicians, Hillary Clinton included. But did they learn all the lessons of his success? Apparently not.

Coming back to the 2016 election, there is then the Trump campaign. Despite the candidate’s statements, his campaign also used analytics, employing Cambridge Analytica, the British firm that helped the Brexit forces to win in the UK. Thus, 2016 wasn’t as much of a test of analytics vs. no analytics as has sometimes been reported.

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But, if an article, “The great British Brexit robbery: how our democracy was hijacked”, published two weeks ago in the British newspaper, the Guardian, is even close to the mark, there is a different question about the good and bad uses of analytics in both the Trump and Brexit campaigns. In part scary and perhaps in others too jaundiced, this story raises questions for the future – as analytic tools get better, will the people using those tools realize they face not only technical challenges.

The good and bad use of analytics will not just be a question as to whether the results are being executed well or poorly – whether the necessary changes and learning among all members of an organization take place. But it will also be a question whether analytics tools are being used in ways that are good or bad in an ethical sense.

© 2017 Norman Jacknis, All Rights Reserved. @NormanJacknis

Politicians, Polling, Google, Being Too Smart Or Sympathetic

Continuing my annual round-up of news you may not have seen … about
politicians, polling and Google, and being smart and/or sympathetic.

Have you ever wanted to know when politicians were telling the truth?  Fiona Zublin has proposed that
politicians be required to have on some wearable technology that will
continually assess their performance.  As she puts it: “We should be
spying on our leaders instead of them spying on us.”

Part of
what drives a request like that is the feeling that politicians seem to
be increasingly out of touch with the public.  Yet, one of the
complaints about politicians is that they are too dependent on polls to
determine what they’ll say and do.  Perhaps this contradiction can be
explained by the weakness of the polls they depend on.  

In the June issue of Campaigns and Elections magazine, Adam Schaeffer poses the question: “Is it time to pull the plug on traditional polling?
 He touches on just one of the ways that polls are not working, which
is their inaccurate predictions about who will actually vote.

And
if you think polling is off the mark, at least you can count on the value of
the actual election results.  But those
too can be easily influenced.  It’s been
known for quite some time that the order of names on the ballots has an effect –
perhaps a few percent – on how many votes go to each candidate.  With people looking for information about
their candidates online, we now have the situation where WIRED writes that Google’s Search
Algorithm Could Steal the Presidency
”. 

Robert
Epstein, a psychologist at the American Institute for Behavioral Research and
Technology who did the study of the effects of Google’s search algorithm provided
more detail in his article, “How Google Could Rig the 2016 Election: Google has
the ability to drive millions of votes to a candidate with no one the wiser” last
week in Politico:

“Google’s search algorithm can easily shift the voting
preferences of undecided voters by 20 percent or more—up to 80 percent in some
demographic groups—with virtually no one knowing they are being manipulated,
according to experiments I conducted recently with Ronald E. Robertson…

“Given that many elections are won by small margins, this
gives Google the power, right now, to flip upwards of 25 percent of the
national elections worldwide…

“What we call in our research the Search Engine Manipulation
Effect (SEME) turns out to be one of the largest behavioral effects ever discovered…

“Because SEME is virtually invisible as a form of social
influence, because the effect is so large and because there are currently no
specific regulations anywhere in the world that would prevent Google from using
and abusing this technique, we believe SEME is a serious threat to the
democratic system of government.”

With all the talk these days
about “smart” this and “smart” that, even “smart” politicians, it’s
worth reading James Hamblin’s piece, “100 Percent Is Overrated: People
labeled smart at a young age don’t deal well with being wrong. Life
grows stagnant.”  

Being focused on academic perfection all
the time may be overrated, but some experts see the need to train
children in social skills.  A summary of this argument can be found in a
NY Times article last month, “Teaching Social Skills to Improve Grades and Lives”.  

If many people grow up without social skills, then people may turn to other means, as the Times reported earlier this month, “For Sympathetic Ear, More Chinese Turn to Smartphone Program”.  

“She
is known as Xiaoice, and millions of young Chinese pick up their
smartphones every day to exchange messages with her, drawn to her
knowing sense of humor and listening skills. People often turn to her
when they have a broken heart, have lost a job or have been feeling
down. They often tell her, I love you.”

Perhaps
this also reflects a lack of social skills and empathy on the part of
Chinese political leaders as well.  I wonder if they’re also using bad
polling 😉

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© 2015 Norman Jacknis, All Rights Reserved
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